Security and privacy protection for automated video surveillance

In this paper, we present an automated video surveillance system designed to 1) ensure efficient selective storage of data, 2) provide means for enhancing privacy protection, and 3) secure visual data against malicious attacks. The proposed solution is a 3-module system processing captured video data before storage. Salient motion detection is used to retain relevant sequences and identify regions of interest with potential privacy-sensitive details. Then, an invertible and secure privacy preserving process is performed using a DCT-based scrambling technique on selected regions. To secure visual data and allow for data authentication, a self-embedding watermarking technique is applied on each image sequence. It offers the capability of proving authenticity as well as locating manipulated regions. Furthermore, this technique is also able to recover and reconstruct a good approximation of original lost content. In addition to a low computational complexity, simulation results show the effectiveness of the whole system in achieving its goals in terms of security and privacy enhancement of automated video surveillance data.